vectorbt-backtesting-skills
Backtest trading strategies across Indian, US, and crypto markets
All Skills in This Repository (6)
Pure Emerald Level Indicatorsvectorbt-expert
Document vectorbt-expert Skill metadata and VectorBT backtest workflows.
quick-stats
Fetch inline EMA 10/20 crossover backtest stats for a symbol using TA-Lib and Plotly.
optimize
Exhaustively test VectorBT strategy parameter combinations and score results.
strategy-compare
Compare multiple trading strategies on the same symbol using vectorbt-expert rules.
setup
Automate Python backtesting environment setup for VectorBT and OpenAlgo.
backtest
Generate a complete VectorBT backtest script for a specified strategy and symbol.
Frequently Asked Questions
FAQPage SchemaHow to install VectorBT Backtesting Skills?โผ
Run `npx skills add marketcalls/vectorbt-backtesting-skills --all -g -y` in your terminal to install all backtesting skills globally.
How to backtest a trading strategy with AI?โผ
Use the /backtest command with a strategy and symbol, like /backtest ema-crossover RELIANCE NSE D, and your agent generates a complete script with fees, benchmark comparison, and charts.
Which markets does this support?โผ
It supports Indian markets via OpenAlgo, US stocks via yfinance, and crypto via yfinance or CCXT, each with realistic market-specific transaction costs.
Can I optimize strategy parameters automatically?โผ
Yes. The /optimize skill runs a parameter grid search, shows Plotly heatmaps, and compares the best parameters against the benchmark.
Do I need coding experience to run backtests?โผ
No. You type simple commands in plain English and your AI coding agent writes, runs, and explains the full backtest for you.
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